Daniel K. Sodickson

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 18

Top Topics

Medical Diagnosis

Brain Mr Image Segmentation

Top Venues

IEEE Trans. Biomed. Eng.

Publications

Radhika Tibrewala, Douglas Brantner, Ryan Brown, Leanna Pancoast, Mahesh Bharath Keerthivasan, Mary Bruno, Kai Tobias Block, Bruno Madore, Daniel K. Sodickson, Christopher M. Collins
Preliminary Experience with Three Alternative Motion Sensors for 0.55 Tesla MR Imaging. Sensors 24 (12) (2024)
Radhika Tibrewala, Tarun Dutt, Angela Tong, Luke Ginocchio, Mahesh B. Keerthivasan, Steven H. Baete, Sumit Chopra, Yvonne W. Lui, Daniel K. Sodickson, Hersh Chandarana, Patricia M. Johnson
FastMRI Prostate: A Publicly Available, Biparametric MRI Dataset to Advance Machine Learning for Prostate Cancer Imaging. CoRR (2023)
Eisa Hedayati, Fatemeh Safari, George Verghese, Vito R. Ciancia, Daniel K. Sodickson, Seena Dehkharghani, Leeor Alon
An experimental system for detection and localization of hemorrhage using ultra-wideband microwaves with deep learning. CoRR (2023)
Raghav Singhal, Mukund Sudarshan, Anish Mahishi, Sri Kaushik, Luke Ginocchio, Angela Tong, Hersh Chandarana, Daniel K. Sodickson, Rajesh Ranganath, Sumit Chopra
On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease. CoRR (2023)
Divyam Madaan, Daniel K. Sodickson, Kyunghyun Cho, Sumit Chopra
On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis. CoRR (2023)
Divyam Madaan, Daniel K. Sodickson, Kyunghyun Cho, Sumit Chopra
On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis. MIDL (2023)
Ilias I. Giannakopoulos, José Enrique Cruz Serrallés, Luca Daniel, Daniel K. Sodickson, Athanasios G. Polimeridis, Jacob K. White, Riccardo Lattanzi
Magnetic-Resonance-Based Electrical Property Mapping Using Global Maxwell Tomography With an 8-Channel Head Coil at 7 Tesla: A Simulation Study. IEEE Trans. Biomed. Eng. 68 (1) (2021)
Florian Knoll, Tullie Murrell, Anuroop Sriram, Nafissa Yakubova, Jure Zbontar, Michael G. Rabbat, Aaron Defazio, Matthew J. Muckley, Daniel K. Sodickson, C. Lawrence Zitnick, Michael P. Recht
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge. CoRR (2020)
José Enrique Cruz Serrallés, Riccardo Lattanzi, Ilias I. Giannakopoulos, Bei Zhang, Carlotta Ianniello, Martijn A. Cloos, Athanasios G. Polimeridis, Jacob K. White, Daniel K. Sodickson, Luca Daniel
Noninvasive Estimation of Electrical Properties From Magnetic Resonance Measurements via Global Maxwell Tomography and Match Regularization. IEEE Trans. Biomed. Eng. 67 (1) (2020)
Taro Makino, Stanislaw Jastrzebski, Witold Oleszkiewicz, Celin Chacko, Robin Ehrenpreis, Naziya Samreen, Chloe Chhor, Eric Kim, Jiyon Lee, Kristine Pysarenko, Beatriu Reig, Hildegard Toth, Divya Awal, Linda Du, Alice Kim, James Park, Daniel K. Sodickson, Laura Heacock, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
Differences between human and machine perception in medical diagnosis. CoRR (2020)
Anuroop Sriram, Jure Zbontar, Tullie Murrell, C. Lawrence Zitnick, Aaron Defazio, Daniel K. Sodickson
GrappaNet: Combining Parallel Imaging With Deep Learning for Multi-Coil MRI Reconstruction. CVPR (2020)
Florian Knoll, Kerstin Hammernik, Chi Zhang, Steen Moeller, Thomas Pock, Daniel K. Sodickson, Mehmet Akçakaya
Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues. IEEE Signal Process. Mag. 37 (1) (2020)
Florian Knoll, Kerstin Hammernik, Chi Zhang, Steen Moeller, Thomas Pock, Daniel K. Sodickson, Mehmet Akçakaya
Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction. CoRR (2019)
Anuroop Sriram, Jure Zbontar, Tullie Murrell, C. Lawrence Zitnick, Aaron Defazio, Daniel K. Sodickson
GrappaNet: Combining Parallel Imaging with Deep Learning for Multi-Coil MRI Reconstruction. CoRR (2019)
Jure Zbontar, Florian Knoll, Anuroop Sriram, Matthew J. Muckley, Mary Bruno, Aaron Defazio, Marc Parente, Krzysztof J. Geras, Joe Katsnelson, Hersh Chandarana, Zizhao Zhang, Michal Drozdzal, Adriana Romero, Michael G. Rabbat, Pascal Vincent, James Pinkerton, Duo Wang, Nafissa Yakubova, Erich Owens, C. Lawrence Zitnick, Michael P. Recht, Daniel K. Sodickson, Yvonne W. Lui
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI. CoRR (2018)
Erich Kobler, Matthew J. Muckley, Baiyu Chen, Florian Knoll, Kerstin Hammernik, Thomas Pock, Daniel K. Sodickson, Ricardo Otazo
Variational Deep Learning for Low-Dose Computed Tomography. ICASSP (2018)
Florian Knoll, Martin Holler, Thomas Kösters, Ricardo Otazo, Kristian Bredies, Daniel K. Sodickson
Joint MR-PET Reconstruction Using a Multi-Channel Image Regularizer. IEEE Trans. Medical Imaging 36 (1) (2017)
Kerstin Hammernik, Teresa Klatzer, Erich Kobler, Michael P. Recht, Daniel K. Sodickson, Thomas Pock, Florian Knoll
Learning a Variational Network for Reconstruction of Accelerated MRI Data. CoRR (2017)
Li Feng, Daniel K. Sodickson, Ricardo Otazo
Rapid free-breathing dynamic contrast-enhanced MRI using motion-resolved compressed sensing. ISBI (2015)
Manushka V. Vaidya, Gang Chen, Bei Zhang, Christopher M. Collins, Daniel K. Sodickson, Riccardo Lattanzi
Effect of an annular sleeve of high permittivity material on resonant modes and homogeneity of a birdcage coil. ISBI (2015)
Daniel K. Sodickson, Li Feng, Florian Knoll, Martijn A. Cloos, Noam Ben-Eliezer, Leon Axel, Hersh Chandarana, Tobias Block, Ricardo Otazo
The rapid imaging renaissance: sparser samples, denser dimensions, and glimmerings of a grand unified tomography. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2015)
Ricardo Otazo, Li Feng, Hersh Chandarana, Tobias Block, Leon Axel, Daniel K. Sodickson
Combination of compressed sensing and parallel imaging for highly-accelerated dynamic MRI. ISBI (2012)
Cagdas Bilen, Ivan W. Selesnick, Yao Wang, Ricardo Otazo, Daniel Kim, Leon Axel, Daniel K. Sodickson
On compressed sensing in parallel MRI of cardiac perfusion using temporal wavelet and TV regularization. ICASSP (2010)
Ricardo Otazo, Fa-Hsuan Lin, Graham C. Wiggins, Ramiro Jordan, Daniel K. Sodickson, Stefan Posse
Superresolution parallel magnetic resonance imaging: Application to functional and spectroscopic imaging. NeuroImage 47 (1) (2009)
Thoralf Niendorf, Daniel K. Sodickson
Highly accelerated cardiovascular magnetic resonance imaging: concepts and clinical applications. EMBC (2006)